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Fire Guard
An AI application for real-time outdoor fire and intrusion detection
Never miss outdoor threats. Detect earlier with AI.
This AI application analyzes video feeds from outdoor facilities and monitored areas
to detect fires and unauthorized intrusions into restricted zones in real time.
It supports fire and intrusion detection across environments such as industrial waste sites,
shrines and temples, factories, outdoor facilities, and forested areas—enabling
early anomaly detection, faster response, and more efficient monitoring operations.
｜App Introduction Video｜
Applied to Fire Guard.（*Under development image.）
｜Usage Scenes｜
Outdoor sites exposed to fire and intrusion risks
Detect fires early through video analysis while strengthening protection against suspicious activity and unauthorized access across diverse environments.
AI provides 24/7 monitoring—including nights and holidays—and alerts only when anomalies are detected. This reduces operational costs while enabling a robust security and safety framework, even with limited staff.
By minimizing delays in detection, it helps prevent damage escalation and protects critical infrastructure and cultural assets around the clock.
Industrial waste sites/Storage yards
Shrines & temples
Cultural assets
Factories & warehouses
Forested areas
｜Standard Apps｜
Flame and Smoke Detection
Analyzes outdoor camera footage to detect fires. Enhances monitoring in outdoor environments where traditional fire alarms are less effective.
Intruder Detection
Detects human entry into configured regions of interest (ROI). Ideal for monitoring restricted areas and critical infrastructure.
*Detection accuracy may decrease when subjects appear small due to wide-area monitoring.｜Function Details｜
How Detection & Integration Work
AI analyzes outdoor camera footage to detect fires and intrusions in real time.
Event confirmation based on sustained detection and configurable cooldown settings help reduce false or redundant alerts. Integration with Node-RED enables image-based email notifications, signal tower alerts, and connectivity with external systems.
This improves monitoring quality during nighttime and unmanned periods, accelerates initial response, and supports the gradual advancement of operational workflows across diverse environments.
Event validation
Events are confirmed only when detection persists for a set period, reducing false alerts caused by brief or incidental triggers.
Notification control with cooldown
After an event is confirmed, notifications are suppressed during a configurable cooldown period, helping prevent excessive alerts for the same incident.
Email notifications with snapshots
By integrating with Node-RED, you can send email notifications with attached images upon detection, enabling faster initial response.
Signal tower and external system integration
Enables post-detection actions like warning light control and system integration, expanding operational flexibility.
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